Instructions to use 1Cris/generative-ai-leader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 1Cris/generative-ai-leader with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("1Cris/generative-ai-leader") prompt = "Crystal" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("1Cris/generative-ai-leader")
prompt = "Crystal"
image = pipe(prompt).images[0]generative ai leader
Model description
A guided blueprint and study resource for leaders mastering generative AI fundamentals — covering foundation models, RLHF, prompt engineering, retrieval-augmented generation, and responsible AI leadership.
Trigger words
You should use Crystal to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-krea-trainer.
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